Data and code for: Beyond Hourly Counts: Daily Quantity and Intraday Allocation of Pedestrian and Bike-Channel Trail Traffic Across Temperature Variation

<p dir="ltr">This repository contains the data, code, statistical outputs, bootstrap results, figure source data, and reproducibility materials supporting the study “Beyond Hourly Counts: Daily Quantity and Intraday Allocation of Pedestrian and Bike-Channel Trail Traffic Across Temperature Variation.”</p><p dir="ltr">The study examines two complementary dimensions of temperature-related urban trail traffic: daily quantity, representing variation in total daily passage volume, and intraday timing, representing how an observed daily volume is distributed across the hours of the day.</p><p dir="ltr">The analysis uses publicly available hourly pedestrian and bike-channel counter records from two urban trails in Seattle, Washington, linked to audited hourly meteorological observations from NOAA/NCEI.

The primary timing analysis includes 12,864 hourly mode-specific observations across 134 complete dates, while a longer Mountains to Sound Trail series is used for temporal and seasonal diagnostic analyses.</p><p dir="ltr">The repository includes derived analysis datasets, R and Python analysis scripts, moving-block bootstrap replicates, primary and sensitivity-analysis results, seasonal and weather-station comparison outputs, source data for the main and supplementary figures, data dictionaries, provenance documentation, and reproducibility checks.</p><p dir="ltr">The underlying Seattle trail-counter and NOAA meteorological observations originate from publicly available third-party sources.